Scene recognition system and method employing low and high...

G - Physics – 05 – D

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G05D 1/12 (2006.01) G06K 9/68 (2006.01)

Patent

CA 2055714

Image data is processed by a low level feature detection processor that extractslow level features from an image. This is accomplished by converting a matrix of im- age data into a matrix of orthogonalicons that symbolically represent the image scene using a predetermined set of attributes. The orthogonal icons serve as the basis of pro- cessing by means of a high level graph matching processor which employs symbolicscene segmentation, description, and recognition processing that is performed subse- quent to the low level feature detection. This processing generates attribute graphs rep- resentative of target objects present in the image scene. High level graph matching compares predetermined attributed reference graphs to the sensed graphs to produce a best common subgraph between the two based on the degree of similarity between the two graphs. The high level graph matching generates a recognition decision based on the value of the degree of similarity and a predetermined threshold. The output of the high level graph matching provides data from which a target aimpoint is determined, and this aimpoint is coupled as an input to a missile guidance system that tracks identi- fied targets.

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